Triple

T3352669
Position Surface form Disambiguated ID Type / Status
Subject Heinrich E70531 entity
Predicate hasFeminineForm P1613 FINISHED
Object Henrike
Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
 E352030 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Henrike | Statement: [Heinrich, hasFeminineForm, Henrike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henrike
Context triple: [Heinrich, hasFeminineForm, Henrike]
  • A. Ingeborg
    Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • B. Hedvig
    Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
  • C. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • D. Dagmar
    Dagmar is a feminine given name of Germanic origin, historically associated with European nobility and still used in various countries today.
  • E. Thyra of Denmark
    Thyra of Denmark was a Danish princess, the youngest daughter of King Christian IX and Queen Louise, known for her dynastic marriage into the royal family of Hanover.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Henrike
Triple: [Heinrich, hasFeminineForm, Henrike]
Generated description
Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henrike
Target entity description: Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
  • A. Ingeborg
    Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • B. Hedvig
    Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
  • C. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • D. Dagmar
    Dagmar is a feminine given name of Germanic origin, historically associated with European nobility and still used in various countries today.
  • E. Thyra of Denmark
    Thyra of Denmark was a Danish princess, the youngest daughter of King Christian IX and Queen Louise, known for her dynastic marriage into the royal family of Hanover.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb23ec53881908a04c7f784fe8c43 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32532ebd08190bf174d72fba89a75 completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b328f5e6ac8190935f88e2b7307147 completed March 12, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_69b32ca6aa4481908b044b07b6d2e529 completed March 12, 2026, 9:14 p.m.
Created at: March 8, 2026, 3:13 p.m.